You care about improving the entire lifecycle of buyer and customer journeys. And you want inspiration for areas where Ai may help.
You want inspiration for real-world ways to help people as you're building your Ai product.
You're focused on the Awareness stage in your daily job and want to find ways for Ai to help you do more with less.
This workflow is designed for account-based marketing teams who need to establish widespread brand familiarity within target accounts before or alongside their direct outreach efforts. 'ABM Air Cover' refers to lighter-touch, broader brand impressions that ensure key decision-makers and influencers at target accounts recognize your brand when more direct ABM tactics are deployed. It works as a critical complementary strategy to higher-touch personalized outreach.
The workflow takes inputs such as a list of target accounts and their industry/persona details from your CRM or ABM platform. Using AI, it generates customized awareness content aimed at multiple touchpoints within an account, including targeted ad copy optimized for impression volume, thought leadership articles addressing industry-specific challenges, and social media posts. This content is designed to be seen by various stakeholders at the account, not just primary contacts. A human review step ensures all content maintains brand standards and strategic alignment before being distributed across selected channels.
By implementing this approach, marketing teams can systematically surround target accounts with relevant brand impressions, creating the perception of your company's prominence in their industry space. Research shows that prospects are 47% more likely to engage with sales outreach when they've previously been exposed to relevant brand content. The AI-monitored engagement tracking provides valuable signals about which accounts are showing interest across various touchpoints, helping to time direct outreach efforts more effectively and identify which departments or roles within an account are most receptive.
Does this AI agent workflow rely too much on AI and not enough on human know-how? Or the reverse? Is it missing steps or tools?
Note that this Ai workflow is presented as inspiration for what's possible. Adjust the amount, type and quality of the data inputs. Adjust how much or how little your human team mates (or you), AI and fully autonomous agents contribute.
And test it! Learn what works and what doesn't.
Don't forget! In the end, it's not just about efficiency. It's about delivering great experiences for your customers and customers-to-be.
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